Cambridge ESRC DTP Interdisciplinary Studentship 2021: Early-life and intergenerational effects on later-life outcomes over the long-term

剑桥 ESRC DTP 跨学科学生奖学金 2021：早期生活和代际对晚年生活结果的长期影响

• 批准号: 2623123
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2623123
• 关键词: Cambridge; ESRC; DTP; Interdisciplinary; Studentship

My proposedresearch will explore two main themes, using the two data sources mentioned in the project description. Firstly, I hope touse the detailed Derbyshire Health Visitor records to study the short- and long-term impact of the 1918/1919 influenzaepidemic on infants during gestation and the first year of life. I want to identify the general impact of influenza on bothpregnant mothers and the infants themselves, and how the timing of the influenza-onset may have impacted its effect. Ihope this study can add to the 'positive selection' debate regarding shocks in utero. I will also use the dataset to look atthe relationship between infant mortality and the foetal origins thesis. Secondly, I will use the Cambridge Group FamilyReconstitution dataset to study infant mortality clustering in England, and intergenerational fertility and mortality rates.Through these ideas, I hope to expand our understanding of the mechanisms through which infant mortality ispropagated individually and across populations, and how in utero environments are impacted by exogenous factors. I amparticularly interested in how the causes behind health inequality and infant mortality manifest themselves biologicallyover time, and how to break these cycles.

我提议的研究将使用项目描述中提到的两个数据源来探索两个主题。首先，我希望利用详细的德比郡健康访客记录来研究1918/1919年流感疫情对妊娠期和出生第一年的婴儿的短期和长期影响。我想确定流感对孕妇和婴儿本身的总体影响，以及流感发作的时间可能如何影响其效果。我希望这项研究能够增加关于子宫内电击的“积极选择”争论。我还将使用该数据集来研究婴儿死亡率与胎儿起源论文之间的关系。其次，我将使用 Cambridge Group FamilyReconstitution 数据集来研究英格兰的婴儿死亡率聚类，以及代际生育率和死亡率。通过这些想法，我希望扩大我们对婴儿死亡率在个体和人群之间传播的机制的理解，以及如何传播婴儿死亡率。子宫内环境受到外源因素的影响。我特别感兴趣的是，随着时间的推移，健康不平等和婴儿死亡率背后的原因如何在生物学上表现出来，以及如何打破这些循环。